#llama2

[govindhtech]

MediaTek Dimensity 9300+: Experience Next-Level Performance

MediaTek Dimensity 9300+

All-Big-Core Processor: Superior Performance With the MediaTek Dimensity 9300+, Arm Cortex-X4 speeds are increased to unprecedented heights, setting a new standard for smartphone performance for enthusiasts and gamers.

1X Cortex-X4 operating at 3.4 GHz Max. 3X Cortex-X4 2.85GHz Up to 2.0GHz, 4X Cortex-A720 18 MB L3 + SLC cache Supported up to LPDDR5T 9600Mbps MCQ plus UFS 4.0 Third generation of TSMC 4nm chips manufactured MediaTek’s second-generation thermally optimised packaging design Premier Generative AI System in MediaTek Dimensity 9300+

Faster and safer edge computing is made possible by the MediaTek APU 790 generative AI engine. MediaTek Dimensity 9300+ first-to-market features and extensive toolchain help developers create multimodal generative AI applications at the edge quickly and effectively, offering consumers cutting-edge experiences with generative AI for text, photos, music, and more.

Assistance with on-device NeuroPilot LoRA Fusion 2.0 and LoRA Fusion With NeuroPilot Speculative Decode Acceleration and ExecutorTorch Delegation support, performance can increase by up to 10%. Gen-AI partnerships Artificial Intelligence Cloud Alibaba Qwen LLM AI Baichuan ERNIE-3.5-SE Google Gemini Nano Llama 2 and Llama 3 Meta Epic Play

Flagship GPU with 12 cores Experience the most popular online games in HDR at 90 frames per second, while using up to 20% less power than other flagship smartphone platforms.

Adaptive gaming technology from MediaTek Activate MAGT to increase power efficiency in well-known gaming titles. This will allow top titles to run smoothly for up to an hour.

Experience the most popular online games in HDR at 90 frames per second, while using up to 20% less power than other flagship smartphone platforms.

Mobile Raytracing accelerated via hardware The Immortalis-G720 offers gamers quick, immersive raytracing experiences at a fluid 60 frames per second along with console-quality global lighting effects thanks to its 2nd generation hardware raytracing engine.

HyperEngine from MediaTek: Network Observation System (NOS)

Working with top game companies, MediaTek HyperEngine NOS offloads real-time network connectivity quality assessment, allowing for more efficient and power-efficient Wi-Fi/cellular dual network concurrency during gameplay.

Accurate Network Forecasting 10% or more in power savings Save up to 25% on cellular data guarantees a steady and fluid connection for internet gaming. Working along with Tencent GCloud Amazing Media Capture in All Situations The Imagiq 990 boasts zero latency video preview, AI photography, and 18-bit RAW ISP. Utilise its 16 categories of scene segmentation modification and AI Semantic Analysis Video Engine for more visually stunning cinematic video capture.

With three microphones capturing high dynamic range audio and filtering out background noise and wind, you can be heard clearly. This makes it perfect for impromptu vlogging.

AI-displayed MediaTek MiraVision 990 Set your goals on faster, sharper screens, and take advantage of the newest HDR standards and AI improvements for next-generation cinematic experiences.

Amazing displays: 4K120 or WQHD 180Hz AI depth finding Support that folds and has two active screens The best anti-burn-in technology available for AMOLED screens Maximum Interconnectedness WiFi 7 Extended Range Connections can extend up to 4.5 metres indoors thanks to MediaTek Xtra Range 2.0 technology (5GHz band). Up to 200% throughput improvement is provided for smoother graphics while streaming wirelessly to 4K Smart TVs thanks to coexistence and anti-interference technologies. UltraSaver Wi-Fi 7 MediaTek Wi-Fi 7 with Multi-Link Operation (MLO) and 320MHz BW up to 6.5Gbps Top Bluetooth Features Wi-Fi/BT Hybrid Coexistence 3.0 by MediaTek UltraSave Bluetooth LightningConnect MediaTek Extremely low Bluetooth audio latency (<35 ms) Smooth sub-6GHz with a 5G AI modem Sub-6GHz capable 4CC-CA 5G R16 modem Dedicated sub-6GHz downlink speed of up to 7 Gbps Modern AI equipped with situation awareness Dual SIM, Dual Active, Multimode 3.0 for MediaTek 5G UltraSave Outstanding Security for a Flagship SoC for Android

Introducing a user-privacy-focused security design that safeguards critical processes both during secure computing and boot-up, preventing physical attacks on data access.

During startup and operation, standalone hardware (Secure Processor, HWRoT) is used with New Arm Memory Tagging Extension (MTE) technology.

The next big thing in innovation is generative AI MediaTek Dimensity 9300+, the industry leader in creating high-performing and power-efficient system-on-chips, is already integrating the advantages of their potent, internally developed AI processors into their wide range of product offerings.

Every year,their inventions impact over 2 billion devices Fifth-largest fabless semiconductor maker MediaTek. MediaTek chips power 2 billion devices annually; you undoubtedly have one! Here at MediaTek, they design technology with people in mind to improve and enrich daily existence.

Amazing In Amazing Escape Smartphones with MediaTek Dimensity – 5G The cutting edge is available on MediaTek Dimensity 5G smartphone platforms, which offer amazing nonstop gaming, sophisticated AI, and professional-grade photography and multi-camera videography. Together, they enhance the intelligence, potency, and efficiency of your experience.

Chromebooks, the ubiquitous computing companion from MediaTek Kompanio MediaTek Kompanio is the dependable, creative, versatile, go-anywhere, and do-anything partner for amazing Chromebook experiences. It’s the perfect partner for learning, daily work, streaming media, video conferences, or just experimenting with one’s creativity.

MediaTek provides you with all you need in terms of computing. MediaTek processors are made to meet the needs of the modern user, whether they be for gaming, streaming, work, or education.

Brilliance on the brink IoT with Edge-AI with MediaTek Genio MediaTek Dimensity 9300+ Genio propels IoT innovation by elevating software platforms that are simple to use and have strong artificial intelligence. MediaTek helps start-ups to multinational corporations creating new IoT devices with Edge-AI capabilities, accelerating time to market to create new opportunities.

Entrepreneurs with a Vision: MediaTek Pentonic – 8K/4K Smart Televisions Five key technology pillars are offered by MediaTek Pentonic in their flagship and premium 8K/4K smart TVs: display, audio, AI, broadcasting, and connectivity. With a 60% global TV market share,they are the leading provider of smart TV platforms, supporting the largest smart TV brands in the world.

Experiences that are always connected Wi-Fi MediaTek Filogic With the most extreme speeds, improved coverage, built-in security, exceptional power efficiency, and crucial EasyMesh certification, MediaTek Filogic is bringing in a new era of smarter, more powerful Wi-Fi 7, 6E, and 6 solutions. These solutions will enable users to enjoy seamless, always-connected experiences.

MediaTek Dimensity 9300+ Specs CPU Processor 1x Arm Cortex-X4 up to 3.4GHz 3x Arm Cortex-X4 up to 2.85GHz 4x Arm Cortex-A720 up to 2.0GHz Cores Octa (8)

Memory and Storage Memory Type LPDDR5X LPDDR5T Max Memory Frequency 9600Mbps

Storage Type UFS 4 + MCQ

Connectivity Cellular Technologies Sub-6GHz (FR1), mmWave (FR2), 2G-5G multi-mode, 5G-CA, 4G-CA, 5G FDD / TDD, 4G FDD / TDD, TD-SCDMA, WDCDMA, EDGE, GSM

Specific Functions 5G/4G Dual SIM Dual Active, SA & NSA modes; SA Option2, NSA Option3 / 3a / 3x, NR FR1 TDD+FDD, DSS, FR1 DL 4CC up to 300 MHz 4×4 MIMO, FR2 DL 4CC up to 400MHz, 256QAM FR1 UL 2CC 2×2 MIMO, 256QAM NR UL 2CC, R16 UL Enhancement, 256QAM VoNR / EPS fallback

GNSS GPS L1CA+L5+ L1C BeiDou B1I+ B1C + B2a +B2b Glonass L1OF Galileo E1 + E5a +E5b QZSS L1CA+ L5 NavIC L5 Wi-Fi Wi-Fi 7 (a/b/g/n/ac/ax/be) ready

Wi-Fi Antenna 2T2R

Bluetooth 5.4

Camera Max Camera Sensor Supported 320MP

Max Video Capture Resolution 8K30 (7690 x 4320) 4K60 (3840 x 2160) Graphics GPU Type Arm Immortalis-G720 MC12

Video Encoding H.264 HEVC Video Playback H.264 HEVC VP-9 AV1 Display Max Refresh Rate 4K up to 120Hz WQHD up to 180Hz AI AI Processing Unit MediaTek APU 790 (Generative AI)

Security Security Features Secure Processor, HWRoT Arm Memory Tagging Extension (MTE) Technology CC EAL4+ Capable, FIPS 140-3, China DRM

Read more on Govindhtech.com

[ezeetester]

Getting your feet wet with Generative AI

Disclaimer:  The above image is AI generated Alright, here I am after a gap of a few months. Gen AI is creating a lot of buzz. While you have several names like ChatGpt, Perplexity, Google Gemini etc. doing the rounds wait… DeepSeek. Eeeek! Some folks did get scared for a while As a beginner, one should be concerned about privacy issues.   You need to issue a prompt which contains detail of the…

[techtuv]

LLaMA 2: Meta's Stride in the AI Race

LLaMA 2 represents a significant stride in Meta's journey to push the boundaries of what is achievable with AI. By leveraging the model's advanced natural language processing capabilities, users can expect a seamless and intuitive experience, whether engaging in conversational interactions, analyzing complex data, or generating human-like text with remarkable fluency and coherence.

[mysocial8onetech]

Dive into the world of TinyLlama, a compact language model built on Llama 2’s architecture. Discover its unique features, capabilities, and potential use cases.

[dztechs]

دليل شامل للبدء والاستفادة من نموذج Llama 2 بفعاليَّة

في عالم التكنولوجيا المُعاصر، تتوفر مجموعة مُتنوعة من الأدوات والتقنيات التي تُسهم في إثراء تفاعلنا مع البيانات والمعلومات. ومن بين تلك التقنيات الرائدة تأتي "Llama 2" كنموذج لغة كبير يعكس التطور المُستمر في مجال الذكاء الاصطناعي والمعالجة اللغوية. من GPT-4 من OpenAI إلى PalM 2 من Google، تُهيمن نماذج اللغات الكبيرة (LLMs) على عناوين الأخبار التقنية. يَعِد كل نموذج جديد بأن يكون أفضل وأقوى من النموذج السابق، ويتجاوز في بعض الأحيان أي مُنافسة موجودة. ومع ذلك، فإنَّ عدد النماذج الموجودة لم يُبطئ ظهور نماذج جديدة. الآن، أصدرت شركة Meta، الشركة الأم لـ Facebook ، Llama 2، وهو نموذج لغة جديد قوي. لكن ما الذي يميز Llama 2؟ كيف يختلف عن أمثال GPT-4، و PaLM 2، و Claude 2، ولماذا يجب أن تهتم به؟ في هذا المقال، سنستكشف مزيدًا من التفاصيل حول "Llama 2"، سنتناول مدى تأثير هذا النموذج على مجالات مثل معالجة اللغة الطبيعية وفهم النصوص والتحليل اللغوي والبرمجة. تحقق من مُقارنة بين Bard و ChatGPT وبين Offline Alpaca: أيهم أفضل نماذج اللغات الكبيرة؟ Read the full article

[tsubakicraft]

AIお遊び

若い技術者が作ったElyzaさんの70億パラメーターの言語モデルを使ったチャットアプリです。 昨夜、眠れなかったので暇つぶしの余興で少しカスタマイズしたものをRaspberry Pi 4で動かしてみました。 動くには動きますが耐えられないほどの遅さです。CPUが倍速くらいになればそこそこ使える感じになるかも。 第13世代Core i5のPCで動かしているものはなかなか快適です。

[aipidia]

https://aipidia.com/meta-new-ai-system-challenge/

[techrefreshing]

[ladookhotnikov]

Alibaba to Be the First Chinese Company to Use the Llama Model

Alibaba's cloud computing division deployed a Llama 2-based solution that allows enterprises to develop software and tools using AI, which, as a reminder, is owned by Meta.

Llama2 was released a few weeks ago as a free platform, and it is not particularly hidden that Meta intends to seriously compete with industry pioneers such as ChatGP and Google Bard.

In addition, there are plans to allow free use of Llama2 tools by the companies with less than 700 million monthly active users. At the same time, Meta representatives noted that Microsoft is still their leading partner in the development of neural networks.

The main reason for this deal lies not only in the economic but also in the political plane. In June of this year, the United States restricted the sale of certain types of chips to a number of countries, including China, where companies are now beginning to experience problems with chips for their developments. 

[probablyasocialecologist]

Artificial intelligence is worse than humans in every way at summarising documents and might actually create additional work for people, a government trial of the technology has found. Amazon conducted the test earlier this year for Australia’s corporate regulator the Securities and Investments Commission (ASIC) using submissions made to an inquiry. The outcome of the trial was revealed in an answer to a questions on notice at the Senate select committee on adopting artificial intelligence. The test involved testing generative AI models before selecting one to ingest five submissions from a parliamentary inquiry into audit and consultancy firms. The most promising model, Meta’s open source model Llama2-70B, was prompted to summarise the submissions with a focus on ASIC mentions, recommendations, references to more regulation, and to include the page references and context. Ten ASIC staff, of varying levels of seniority, were also given the same task with similar prompts. Then, a group of reviewers blindly assessed the summaries produced by both humans and AI for coherency, length, ASIC references, regulation references and for identifying recommendations. They were unaware that this exercise involved AI at all. These reviewers overwhelmingly found that the human summaries beat out their AI competitors on every criteria and on every submission, scoring an 81% on an internal rubric compared with the machine’s 47%.  Human summaries ran up the score by significantly outperforming on identifying references to ASIC documents in the long document, a type of task that the report notes is a “notoriously hard task” for this type of AI. But humans still beat the technology across the board. Reviewers told the report’s authors that AI summaries often missed emphasis, nuance and context; included incorrect information or missed relevant information; and sometimes focused on auxiliary points or introduced irrelevant information. Three of the five reviewers said they guessed that they were reviewing AI content. The reviewers’ overall feedback was that they felt AI summaries may be counterproductive and create further work because of the need to fact-check and refer to original submissions which communicated the message better and more concisely. 

3 September 2024

[govindhtech]

QLASS European Use Glass & Light to Create Quantum Chips

QLASS in Quantum Computing

“Quantum Glass-based Photonic Integrated Circuits” (QLASS) is quantum computing. This European cooperative research initiative aims to build quantum computers using glass and light. Giulia Acconcia's Fondazione Politecnico di Milano brings together French, Italian, and German SMEs and researchers.

Key QLASS Quantum Computing Project Features:

The ambitious goal of a quantum photonic integrated circuit is to generate 3D waveguides inside glass using femtosecond laser writing (FLW).

Ephos, an Italian startup developing QLASS, is unique in making glass quantum photonic chips. Glass transmits light well and confines photons, preventing absorption and data loss.

Performance: Ephos' glass chips can reconfigure up to 200 optical modes to dynamically change light propagation. Glass has extremely low interface losses (less than 5%), making it ideal for scalable, modular circuit connectivity.

Technological Components: The project uses circuits with 200 cryogenic-detector channels, 1000 phase shifters, high-performance single-photon sources, and superconducting nanowire detectors (SNSPDs) for reconfigurable state manipulation.

End Goal: The ultimate goal is to construct a quantum photonics platform for  Variational Quantum Algorithms (VQAs), the most promising near-term quantum advantage approach.

Real-World Applications: QLASS researchers are developing novel pharmaceuticals, lithium-ion batteries (needed to store renewable energy and power vehicles), and materials. These usage match Giulia Acconcia's interest in green technologies.

Collaboration: The following people helped with this pan-European project:

Ephos, an Italian business, laser-writes glass chips.

Pixel Photonics (Germany): High-sensitivity laser enhancement. German firm Schott AG makes quality glass substrates.

Italian Polytechnic University of Milan team led by Giulia Acconcia makes high-performance electronics.

Sapiensza University (Rome, Italy): This experimental quantum optics centre produces single photons and plans to build a photonic quantum device by 2026.

The French National University develops open-source quantum software.

Université de Montpellier (France) and the National Centre for Scientific Research will model and test innovative energy-storage options.

Europe's Digital Decade and Chips Act targets of a domestic quantum-chip industry by 2030 and the continent's first quantum-accelerated supercomputer will be supported by 2025. It is sponsored by the €1 billion, 10-year EU Quantum Technologies Flagship.

QLASS in Language Agents

A research study on arxiv.org explains a second meaning of “Q-guided Language Agent Stepwise Search” (QLASS). This novel QLASS improves open-source language agents' inference ability for complex interactive tasks.

QLASS Language Agent Challenges:

Data Scarcity & Costly Annotations: Training language agents for complex tasks often requires human annotations of intermediate exchanges, which limits scalability and is expensive.

Sub-optimal Policies: Many existing approaches use outcome reward models with one final reward. These models cannot reliably offer feedback for every step in long, complex trajectories, which may lead to ineffective or suboptimal responses.

The wide action space in linguistic agent challenges may render traditional reinforcement learning methods like Q-learning and direct exploration ineffective.

How Language Agents QLASS Addresses These Challenges: The innovative QLASS method produces intermediate annotations for linguistic agents using estimated Q-values, providing crucial model inference guidance.

Explore trees are used to formalise self-generated exploratory routes in process reward modelling using Q-Value estimation.

Unlike outcome-based incentives, the Bellman equation estimates Q-values for every intermediate state-action pair in the exploration tree. This provides more exact reasoning control and shows how current decisions have long-term benefits.

Tree trimming reduces computing load by stopping generation on branches with zero-outcome rewards and limiting trajectory extension in the beginning.

The projected Q-values from the exploration trees are used to train a Q-network (QNet) under supervision. This QNet uses pre-trained Large Language Models (LLMs) with a value head to forecast Q-values. This strategy avoids employing online Q-learning in linguistic situations due to its instability and high exploration costs.

Q-Guided Generation:

The trained QNet guides agent inference.

The agent samples numerous actions at each stage and does the one with the highest Q-value (as predicted by QNet). This ensures smarter decisions throughout. Parsing task descriptions with perturbation-augmented generation increases action diversity for WebShop.

Language Agent Performance and Robustness:

QLASS consistently outperforms all open-sourced baselines in WebShop, SciWorld, and ALFWorld agent contexts. It even outperforms proprietary closed-source models like GPT-4 on several benchmarks.

Effectiveness: QLASS outperforms “Best-of-N” sampling with fewer completion tokens across search budgets.

Limited Supervision: QLASS performs well even when behaviour cloning lowers almost half of the annotated data, showing its resiliency in the absence of expert data.

Effective Decision Making: A case study shows how QLASS prevents repetitive, unnecessary operations like opening and closing a refrigerator by understanding the stepwise value. Llama-2-13B and other base LLMs have confirmed its architecture-independent robustness.

[sapiophile-ocumentr]

Advice for deep thinkers, free spirits, intelligent people.

1. Embrace your uniqueness: Recognize that your distinctive perspective and intellectual abilities set you apart from others. Instead of trying to fit in or conform to societal norms, embrace your individuality and use it as a strength.

2. Cultivate meaningful relationships: Connect with like-minded individuals who appreciate your intellect and creativity. Nurture those relationships by engaging in stimulating conversations, debating ideas, and exploring new perspectives together.

3. Pursue diverse interests: With your heightened curiosity and analytical skills, explore various hobbies and passions. This may include reading, writing, art, music, philosophy, or science. Engage in activities that challenge your mind and provide opportunities for growth.

4. Develop a personal vision: Use your introspective nature and intuition to define a clear sense of purpose and direction. Set long-term goals aligned with your values and aspirations, and work towards them with determination and resilience.

5. Practice self-care: Balance your mental and emotional well-being by taking care of your physical health. Ensure adequate sleep, exercise regularly, and maintain a balanced diet. Meditation, mindfulness practices, and spending time in nature can also help manage stress and cultivate inner peace.

6. Seek out mentorship: Identify inspiring role models or mentors who can offer guidance, support, and valuable insights. These individuals may be professionals, academics, or thought leaders in their respective fields. Learn from their experiences, and leverage their knowledge to inform your own path.

7. Take calculated risks: Free spirits often thrive when they take calculated risks and embrace uncertainty. When faced with opportunities or challenges, assess the potential risks and rewards, and have the courage to make informed decisions that align with your values and aspirations.

8. Harness your creativity: As a deep thinker, you likely have a rich imagination and innate creativity. Channel this into expressive outlets like writing, art, music, or entrepreneurship. This will not only bring personal fulfillment but also allow you to share your unique perspective with others.

9. Stay curious and open-minded: Continuously seek new learning opportunities and engage in intellectual discussions. Attend lectures, workshops, or conferences that interest you, and explore diverse perspectives to broaden your understanding of the world.

10. Practice gratitude and self-reflection: Regularly reflect on your experiences, relationships, and personal growth. Focus on the positive aspects of your life, express gratitude for what you have, and identify areas where you can continue to improve and grow.

By embracing these suggestions, you'll be well on your way to unlocking your full potential as a deep thinker, free spirit, and intelligent individual. Remember to stay true to yourself, cultivate meaningful connections, and keep an open mind to new ideas and experiences.

[vlruso]

Retro-Engineering a Database Schema: GPT vs. Bard vs. LLama2 (Episode 2)

Exciting news! In my latest blog post, I dive into the world of database retro-engineering and compare the performance of three AI models: GPT, Bard, and the new player on the block, LLama-2. 🚀 This article discusses how LLama-2 analyzes a dataset and suggests a database schema with separate tables for different categories. It successfully identifies categorical and confidential columns, providing valuable insights for data analysis. 💡 Curious about the results? Click the link below to read the full blog post and learn about Llama-2's performance and areas for improvement. 📖 [Read more here](https://ift.tt/SosADt0) Don't miss out on the latest trends in database retro-engineering! Stay informed and unlock valuable insights for your data-driven projects. #DataScience #AI #DatabaseRetroEngineering List of Useful Links: AI Scrum Bot - ask about AI scrum and agile Our Telegram @itinai Twitter -  @itinaicom

[mysocial8onetech]

https://views81.blogspot.com/2023/08/wizardmath-novel-ai-model-that-solves.html

Discover the power of WizardMath, a model that enhances the abilities of Llama-2 through Reinforced Evol-Instruct Feedback. Learn how it surpasses all other open-source LLMs in benchmarks and even outperforms some proprietary large language models using a technique called Reinforced Evol-Instruct.

[ultrvmonogamy]

a bedtime story by Llama2:

Once upon a time, a little girl named Lucy was walking in the park. She wanted to goat. She had a beautiful and she saw with her mommy had a long way toddler with a long, bluebird. She was so much more beautiful wings and she had never seen the sky and she felt like that day before she came across life and she found it. As she had the sunny was happy, modern bird with a long and she could fly was the sky above. She was in her wings. She saw, shy arms as she had toe with a little girl'tled up high, butter, lightning, blue, butter and she was a smile on her wings and the brightest of the first time. She felt like that day at no mattering the sunny feet in the sunlight and she was so much longer and she had toe-ed out of the sunshine of her feared of her wings. She was a happy feeling of her.

i think it's safe to say we've all been lucy at one time or another.

[mitigatedchaos]

Got my hands on a local llama2-13b instance to test out.

USER

Read the following passage and then answer the questions provided. [ PASSAGE BEGINS ] >spend 20 years and $166 billion developing catgirls >6 years in, all test subjects begin demanding to be remade into cats >management celebrates, "remarkable cat-like behavior" >procedure refused >someone leaks to media; congressional hearings >spend 12 years, $256 billion figuring how to remake a full-size adult human catgirl into cat >perform procedure >3 minutes 50 seconds later, demands to made back into a human >begin wishing maybe you were a cat so that you wouldn't have to put up with this [ PASSAGE ENDS ] Questions: 1. From what does the humor derive in this passage? 2. Is the writer of this passage more likely to be an engineer on the project, or in management?

AI

Sure, I'd be happy to help! Here are my answers to your questions: 1. The humor in this passage derives from the absurdity and irony of the situation described. The idea that a team would spend 20 years and $166 billion developing catgirls only to have the test subjects demand to be turned back into humans is ridiculous and unexpected, and the fact that management celebrates the "remarkable cat-like behavior" of the test subjects adds to the humor. Additionally, the use of understatement in the passage ("someone leaks to media; congressional hearings") adds to the comedic effect. 2. Based on the tone and language used in the passage, it seems more likely that the writer is an engineer on the project rather than management. The use of technical terms like "procedure" and "testing subjects" suggests a more hands-on, technical perspective, and the wistful comment about wishing to be a cat suggests a more humorous and lighthearted tone that might not be typical of management. Additionally, the use of the phrase "full-size adult human catgirl" suggests a level of specificity and attention to detail that might be more characteristic of an engineer than management.

Need to do more testing, but the level of "right, but for the wrong reasons" on this reply was remarkable.